ASUS System Product Name
Geekbench AI Score
30708
Single Precision Score
34804
Half Precision Score
23703
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 12:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 GRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13222
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
14016
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
11242
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19684
319.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17918
290.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17626
286.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
246772
287.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
344316
401.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
208503
244.3 IPS |
|
|
Object Detection (SP)
|
100% |
15009
1.19 KIPS |
|
|
Object Detection (HP)
|
99% |
16102
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
12955
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
37697
447.9 IPS |
|
|
Face Detection (HP)
|
100% |
42608
506.3 IPS |
|
|
Face Detection (Q)
|
97% |
31533
376.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
69839
538.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
80049
616.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
53182
435.8 IPS |
|
|
Style Transfer (SP)
|
100% |
379354
487.7 IPS |
|
|
Style Transfer (HP)
|
100% |
536889
690.2 IPS |
|
|
Style Transfer (Q)
|
98% |
325463
419.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42061
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54662
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33381
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3967
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2490
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2306
51.4 IPS |
